class_docstr: Simple version FMM(Forward Maximun Matching) word tokenizer. This tokenizer can only
  be used in topic model demo, but not in real business application scenarios.
  
  Notes: This tokenizer can only recognize the words in the corresponding vocab file.
class_docstr_tok: ["Simple","version","FMM","(","Forward","Maximun","Matching",")","word","tokenizer",".","This","tokenizer","can","only","be","used","in","topic","model","demo",",","but","not","in","real","business","application","scenarios",".","Notes",":","This","tokenizer","can","only","recognize","the","words","in","the","corresponding","vocab","file","."]
docstr: Check whether char c is an English character.
          
docstr_tok: ["Check","whether","char","c","is","an","English","character","."]
code: def __is_eng_char(self, c):
      """Check whether char c is an English character."""
      return (c >= "A" and c <= "Z") or (c >= "a" and c <= "z")
  
file_path: PaddleHub/modules/text/language_model/lda_news/tokenizer.py
label_desc: Use image node_id 5 for calling the SimpleTokenizer obj's underlying member method code with example usage: obj.__is_eng_char(c) and returns: unknown